Empirical Research For Futuristic E Commerce System

Recently, there has been an increase in the number of e-commerce users. This has caused online shopping to become a new and challenging market for e-commerce vendors. Security, inventory management, reliability, and performance of e-commerce websites are a few of the challenges associated with the rising popularity of e-commerce. On a daily basis, millions of e-commerce transactions are taking place. This generates a huge amount of data that can be used to solve the various challenges of e-commerce. Further study on how this data can be used to address these issues is required to propel businesses forward. Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications shares experiences and research outcomes on all aspects of intelligent software solutions such as machine learning, nature-inspired computing, and data science for business-to-consumer (B2C) e-commerce. By looking at the exponential growth of the e-commerce market and its popularity, this book also focuses on the current issues, solutions, and future possibilities in the B2C model of e-commerce. Covering a range of critical topics such as online shopping, supply chain management, and blockchain, this reference work is ideal for academic scientists, data scientists, software developers, business experts, researchers, scholars, practitioners, academicians, instructors, and students.

Shares experiences and research outcomes on all aspects of intelligent software solutions such as machine learning, nature-inspired computing, and data science for business-to-consumer (B2C) e-commerce.

The methods and thinking of economics permeate a large part of the IS discipline. Reciprocally, newly emerging research methods relying on the IT-enabled treatment of massive data aggregates feed economic research. As new and radical forms of IT innovation continue to energize electronic commerce, IS researchers face a daunting task in using existing empirical methods and tools to understand the threats, opportunities, risks, and rewards of these new techniques. This groundbreaking volume leads the way. It introduces new methodological approaches to data analysis as well as new techniques for collecting and cataloging transactional data. The ideas it presents have broad appeal and demonstrate what is possible when new techniques and new ways of thinking are brought to bear on complex research problems.

In the past two decades, research on electronic commerce and platforms has thrived. Tremendous academic research has been conducted on this specific concept. Over the last decade, with the rise of applications and mobile technology, that stream of research has extended to the collaborative economy, more colloquially known as the sharing economy. The commonality between e-commerce and collaborative consumption being that they both occur online and rely predominantly on platforms. The Handbook of Research on the Platform Economy and the Evolution of E-Commerce is a comprehensive reference book offering a holistic perspective of the platform economy by connecting the e-commerce and collaborative economy streams into a common framework. As such, this integrated perspective offers a clearer understanding of the key trends in research and in managerial action, as well as an agenda for future studies and practice. This handbook emphasizes how the digital transition will create an increased merging between physical and digital activities, as well as the challenges and opportunities pertaining to this trend. Covering topics including sharing economy, Marketing 4.0, and digital applications, this book is essential for marketers, managers, executives, students, researchers, and academicians.

In the next few years, it is expected that most businesses will have transitioned to the use of electronic commerce technologies, namely e-commerce. This acceleration in the acceptance of e-commerce not only changes the face of business and retail, but also has introduced new, adaptive business models. The experience of consumers in online shopping and the popularity of the digital marketplace have changed the way businesses must meet the needs of consumers. To stay relevant, businesses must develop new techniques and strategies to remain competitive in a changing commercial atmosphere. The way in which e-commerce is being implemented, the business models that have been developed, and the applications including the benefits and challenges to e-commerce must be discussed to understand modern business. The Research Anthology on E-Commerce Adoption, Models, and Applications for Modern Business discusses the best practices, latest strategies, and newest methods for implementing and using e-commerce in modern businesses. This includes not only a view of how business models have changed and what business models have emerged, but also provides a focus on how consumers have changed in terms of their needs, their online behavior, and their use of e-commerce services. Topics including e-business, e-services, mobile commerce, usability models, website development, brand management and marketing, and online shopping will be explored in detail. This book is ideally intended for business managers, e-commerce managers, marketers, advertisers, brand managers, executives, IT consultants, practitioners, researchers, academicians, and students interested in how e-commerce is impacting modern business models.

This groundbreaking book introduces the application of statistical methodologies to e-Commerce data With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that are essential in order to analyze information from electronic-commerce (e-Commerce) transactions, identify the challenges that arise with new e-Commerce data structures, and discover new knowledge about consumer activity. This collection gathers over thirty researchers and practitioners from the fields of statistics, computer science, information systems, and marketing to discuss the growing use of statistical methods in e-Commerce research. From privacy protection to economic impact, the book first identifies the many obstacles that are encountered while collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then suggested using established and newly developed statistical and data mining methods. Finally, a look into the future of this evolving area of study is provided through an in-depth discussion of the emerging methods for conducting e-Commerce research. Statistical Methods in e-Commerce Research successfully bridges the gap between statistics and e-Commerce, introducing a statistical approach to solving challenges that arise in the context of online transactions, while also introducing a wide range of e-Commerce applications and problems where novel statistical methodology is warranted. It is an ideal text for courses on e-Commerce at the upper-undergraduate and graduate levels and also serves as a valuable reference for researchers and analysts across a wide array of subject areas, including economics, marketing, and information systems who would like to gain a deeper understanding of the use of statistics in their work.

When traditional shopping becomes challenging, people are inclined to shop online. Recent limitations like government-imposed quarantines, social distancing, and fear of viruses have provided opportunities for the e-commerce business to thrive. Consumers turned to digital options to bypass physical shopping environments, which will undoubtedly influence long-term buyer behavior. Advancing SMEs Toward E-Commerce Policies for Sustainability provides a fresh perspective on how small and medium-sized enterprises (SMEs) can leverage e-commerce for sustainability and considers the best practices and challenges of adoption. Covering topics such as data science, digital ethics, and blockchain, this reference work is ideal for business owners, managers, policymakers, researchers, scholars, academicians, educators, and students.

The value of e-business technologies, namely, the organizational performance impacts of implementing Internet-based information technology (IT) in the supply chain context, has been the theme of recent literature in both information systems and operations management disciplines. Yet the findings reported in this literature reflect a certain inconsistency that can be attributed to variability in the conceptualization of key constructs and relationships. The central goal of this review was to systematically analyze survey-based studies that have reported on the relationship between e-business technologies and organizational performance to detect possible sources for the similarities and differences in reported findings. We drew on the resource-based view of the firm to guide our analysis, relying on Melville et al.'s 2004 integrative model. We applied this model to consolidate the various strands of research, to synthesize the current knowledge about e-business value, and to guide future research by developing propositions and suggesting future research directions. This review reveals that definitions and measurements of the key variables used to evaluate the main concepts of e-business value differ markedly across the relevant literature. However, despite these differences, the papers reviewed generally agree that e-business technologies are valuable, mostly through their facilitation of Internet-enabled supply chain integration capabilities. The nature and magnitude of value are dependent on internal and external factors. The conclusions drawn from the literature review provide a basis from which further research on the organizational performance impacts of e-business technologies can be developed, both to define its main concepts and to construct its theoretical basis.